Hello all,There has been a great silence on this website from few months. I have been very busy in professional & personal life. It was a fantastic 2018 with executing some of the best projects professionally, learning new things on IoT Product Cyber Security, meeting brightest founders of new start-ups and personal commitments.Few friends reported that this site was crashing on latest version of few browsers after Mozilla & Google updated their source codes. I have been working on fixing the code of this website from last few months. All errors are resolved now. This website is working fine on all versions of desktop & mobile browsers.You will see more updates on this website now. Hope to learn & share more with all of you.Please contact me in case you come across any bugs on this website.Regards,Prakash

This tool checks security settings according to the profiles the user creates and changes them to recommended settings based on the CIS AWS Benchmark source at request of the user.Zeus is a powerful tool for AWS EC2 / S3 / CloudTrail / CloudWatch / KMS best hardening practices. It checks security settings according to the profiles the user creates and changes them to recommended settings based on the CIS AWS Benchmark source at request of the user.

Zeus has been written in bash script using AWS-CLI and it works in Linux/UNIX and OSX.Zeus has capability to review;

This project is led by group of researchers at Princeton University. They analyze different IoT devices in the Smart House and examine security/privacy problems.An increasing number of home devices, from thermostats to light bulbs to garage door openers, are now Internet-connected. This “Internet of Things” (IoT) promises reduced energy consumption, more effective health management, and living spaces that react adaptively to users’ lifestyles. Unfortunately, recent IoT device hacks and personal data breaches have made security and privacy a focal point for IoT consumers, developers, and regulators.

A Group of computer scientists from Princeton University and University of California, Berkeley begun this effort by analyzing more than 50 home IoT devices ourselves. Team members - Noah Apthorpe, Danny Y. Huang, Gunes Acar, Frank Li, Arvind Narayanan, Nick Feamster

Machine Learning Crash Course features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.Machine Learning Crash Course does not presume or require any prior knowledge in machine learning. However, to understand the concepts presented and complete the exercises, we recommend that students meet the following prerequisites:Mastery of intro-level algebra. You should be comfortable with variables and coefficients, linear equations, graphs of functions, and histograms. (Familiarity with more advanced math concepts such as logarithms and derivatives is helpful, but not required.)

Proficiency in programming basics, and some experience coding in Python. Programming exercises in Machine Learning Crash Course are coded in Python using TensorFlow. No prior experience with TensorFlow is required, but you should feel comfortable reading and writing Python code that contains basic programming constructs, such as function definitions/invocations, lists and dicts, loops, and conditional expressions.

Taipan is a an automated web application scanner which allows to identify web vulnerabilities in an automatic fashion. This project is the core engine of a broader project which include other components, like a web dashboard where you can manage your scan or download a PDF report and a scanner agent to run on specific host. Here is a screenshot of the Taipan dashboard:

Taipan can run on both Windows (natively) and Linux (with mono). To run it in Linux you have to install mono in version >= 4.8.0.

The elements of AI is a free online course for everyone interested in learning what AI is, what is possible (and not possible) with AI, and how it affects our lives – with no complicated math or programming required. "The Elements of Artificial Intelligence" online course is entirely in English and offered to people who are interested in learning more about AI.

The University of Helsinki has offered a course in AI for the past few years. Due to increased interest in the subject, the institution collaborated with Reaktor to create an online course to meet the growing demand. The course is free of charge and open to anyone around the world.The coursework takes about 30 hours to complete and students in Finland can even earn two ECTS academic credits through the Open University. Those outside Finland who've successfully completed the course are able to receive a certificate to post on their LinkedIn page.

Association of Corporate Counsel (ACC) USA, a global legal association representing more than 42,000 in-house counsel in 85 countries, today announced the release of safety guidelines for outside counsel who have access to sensitive company data as part of their engagements with corporate law departmentsThe guidelines, "Model Information Protection and Security Controls for Outside Counsel Possessing Company Confidential Information," will serve as a benchmark for law firm cyber security practices.